Blar i Publikasjoner fra CRIStin på tidsskrift "IEEE Access"
Viser treff 41-60 av 60
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Multi-Channel Time-Frequency Domain Deep CNN Approach for Machinery Fault Recognition Using Multi-Sensor Time-Series
(Peer reviewed; Journal article, 2023)In the industry, machinery failure causes catastrophic accidents and destructive damage to the machines. It causes the machinery to stop and reduces production, causing financial losses to the industry. As a result, ... -
Multi-Class Stress Detection Through Heart Rate Variability: A Deep Neural Network Based Study
(Peer reviewed; Journal article, 2023)Stress is a natural human reaction to demands or pressure, usually when perceived as harmful or/and toxic. When stress becomes constantly overwhelmed and prolonged, it increases the risk of mental health and physiological ... -
Multilingual Sentiment Analysis for Under-Resourced Languages: A Systematic Review of the Landscape
(Peer reviewed; Journal article, 2022)Sentiment analysis automatically evaluates people’s opinions of products or services. It is an emerging research area with promising advancements in high-resource languages such as Indo-European languages (e.g. English). ... -
Novel Distance Estimation Methods Using 'Stochastic Learning on the Line' Strategies
(Journal article; Peer reviewed, 2018) -
Novel Isolated Multiport DC Converter with Natural Bipolar Symmetry for Renewable Energy Source Integration to DC Grids
(Peer reviewed; Journal article, 2023)Due to their greater reliability, efficiency, and resilience as compared to unipolar dc grid systems, bipolar dc grid systems are swiftly gaining popularity for the integration of renewable energy sources. However, development ... -
On Invoking Transitivity to Enhance the Pursuit-Oriented Object Migration Automata
(Journal article; Peer reviewed, 2018) -
Open-Source Face Recognition Frameworks: A Review of the Landscape
(Peer reviewed; Journal article, 2022) -
Optimization of Vehicle-to-Vehicle Frontal Crash Model based on Measured Data using Genetic Algorithm
(Journal article; Peer reviewed, 2017)In this paper, a mathematical model for vehicle-to-vehicle frontal crash is developed. The experimental data are taken from the National Highway Traffic Safety Administration. To model the crash scenario, the two vehicles ... -
Optimizing the Performance of Data Warehouse by Query Cache Mechanism
(Peer reviewed; Journal article, 2022) -
Personalized Adaptive Learning Technologies Based on Machine Learning Techniques to Identify Learning Styles: A Systematic Literature Review
(Peer reviewed; Journal article, 2023)Artificial intelligence (AI) approaches have been used in personalised adaptive education systems to overcome the limitations of statically determined learning styles (LSs). These approaches utilise algorithms from machine ... -
Reinforcement Learning based Fault-Tolerant Routing Algorithm for Mesh based NoC and its FPGA Implementation
(Peer reviewed; Journal article, 2022)Network-on-Chip (NoC) has emerged as the most promising on-chip interconnection framework in Multi-Processor System-on-Chips (MPSoCs) due to its efficiency and scalability. In the deep submicron level, NoCs are vulnerable ... -
SFTSDH: Applying Spring Security Framework with TSD-Based OAuth2 to Protect Microservice Architecture APIs
(Peer reviewed; Journal article, 2022)The Internet of Medical Things (IoMT) combines medical devices and applications that use network technologies to connect healthcare information systems (HIS). IoMT is reforming the medical industry by adopting information ... -
Spectrum Sensing in Cognitive Radio Using CNN-RNN and Transfer Learning
(Peer reviewed; Journal article, 2022)Cognitive radio has been proposed to improve spectrum utilization in wireless communication. Spectrum sensing is an essential component of cognitive radio. The traditional methods of spectrum sensing are based on feature ... -
Static Deflection Compensation of Multi-Link Flexible Manipulators Under Gravity
(Peer reviewed; Journal article, 2022)The static deflection compensation method of a planar multi-link flexible manipulator is proposed using the feedback from inertial sensors mounted at the tip of each link. The proposed compensation technique is validated ... -
Surface Electromyography and Artificial Intelligence for Human Activity Recognition - A Systematic Review on Methods, Emerging Trends Applications, Challenges, and Future Implementation
(Peer reviewed; Journal article, 2023)Human activity recognition (HAR) has become increasingly popular in recent years due to its potential to meet the growing needs of various industries. Electromyography (EMG) is essential in various clinical and biological ... -
A Trajectory-Driven 3D Channel Model for Human Activity Recognition
(Peer reviewed; Journal article, 2021) -
A Trajectory-Driven 3D Non-Stationary mm-Wave MIMO Channel Model for a Single Moving Point Scatterer
(Peer reviewed; Journal article, 2021)This paper proposes a new non-stationary three-dimensional (3D) channel model for a physical millimeter wave (mm-Wave) multiple-input multiple-output (MIMO) channel. This MIMO channel model is driven by the trajectory of ... -
Unified Quality-Aware Compression and Pulse-Respiration Rates Estimation Framework for Reducing Energy Consumption and False Alarms of Wearable PPG Monitoring Devices
(Peer reviewed; Journal article, 2023)Due to the high demands of tiny, compact, lightweight, and low-cost photoplethysmogram (PPG) monitoring devices, these devices are resource-constrained including limited battery power. Consequently, it highly demands ... -
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications
(Journal article; Peer reviewed, 2019) -
WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities
(Peer reviewed; Journal article, 2020)